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Get Free AccessSoil compaction associated with mechanized wood harvesting can long-lastingly disturb forest soils, ecosystem function, and productivity. Sustainable forest management requires precise and deep knowledge of logging operation impacts on forest soils, which can be attained by meta-analysis studies covering representative forest datasets. We performed a meta-analysis on the impact of logging-associated compaction on forest soils microbial biomass carbon (MBC), bulk density, total porosity, and saturated hydraulic conductivity (K sat ) affected by two management factors (machine weight and passage frequency), two soil factors (texture and depth), and the time passed since the compaction event. Compaction significantly decreased soil MBC by −29.5% only in subsoils (>30 cm). Overall, compaction increased soil bulk density by 8.9% and reduced total porosity and K sat by −10.1 and −40.2%, respectively. The most striking finding of this meta-analysis is that the greatest disturbance to soil bulk density, total porosity, and K sat occurs after very frequent (>20) machine passages. This contradicts the existing claims that most damage to forest soils happens after a few machine passages. Furthermore, the analyzed physical variables did not recover to the normal level within a period of 3–6 years. Thus, altering these physical properties can disturb forest ecosystem function and productivity, because they play important roles in water and air supply as well as in biogeochemical cycling in forest ecosystems. To minimize the impact, we recommend the selection of suitable logging machines and decreasing the frequency of machine passages as well as logging out of rainy seasons especially in clayey soils. It is also very important to minimize total skid trail coverage for sustainable forest management.
Meisam Nazari, Mohammad Eteghadipour, Mohsen Zarebanadkouki, Mohammad Ghorbani, Michaela Dippold, Nataliya Bilyera, Kazem Zamanian (2021). Impacts of Logging-Associated Compaction on Forest Soils: A Meta-Analysis. Frontiers in Forests and Global Change, 4, DOI: 10.3389/ffgc.2021.780074.
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Type
Article
Year
2021
Authors
7
Datasets
0
Total Files
0
Language
English
Journal
Frontiers in Forests and Global Change
DOI
10.3389/ffgc.2021.780074
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